{"id":297377,"date":"2025-12-23T16:29:29","date_gmt":"2025-12-23T07:29:29","guid":{"rendered":"https:\/\/ksensors.co.kr\/product\/naturoll-multirange-rotational-torque-transducer-nf604\/"},"modified":"2025-12-23T16:29:29","modified_gmt":"2025-12-23T07:29:29","slug":"naturoll-multirange-rotational-torque-transducer-nf604","status":"publish","type":"product","link":"https:\/\/ksensors.co.kr\/en\/product\/naturoll-multirange-rotational-torque-transducer-nf604\/","title":{"rendered":"Naturoll \/ Multirange rotational torque transducer NF604"},"content":{"rendered":"<h1>Multirange rotational torque transducer NF604<\/h1>\n<p><strong><span lang=\"EN-US\">Features<\/span><\/strong><\/p>\n<p><span lang=\"EN-US\">Multirange rotational torque transducer NF604\u00a0uses metal foil strain gauge technology.\u00a0The dynamic torque load cell is an integrated product composed of a sensitive element and an integrated circuit.\u00a0<\/span>This rotational torque transducer has no wearing parts such as a collecting ring, so it can operate at high speed for a long time.<\/p>\n<ul>\n<li>Compact structure<\/li>\n<li>Multirange<\/li>\n<li>High precision<\/li>\n<\/ul>\n<p data-section=\"2\"><strong><span lang=\"EN-US\">Applications<\/span><\/strong><\/p>\n<ul>\n<li>Industrial measurement<\/li>\n<li>Screw locking torque monitoring<\/li>\n<li>Automatic machine tool torque<\/li>\n<\/ul>\n<p><strong><span lang=\"EN-US\">Mounting Dimension<\/span><\/strong><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/ksensors.co.kr\/wp-content\/uploads\/2025\/12\/16e347850f794f0a96e9fbbdebac4d27-736x800.jpg\" alt=\"\" width=\"500\" height=\"544\" \/><\/p>\n<p><img decoding=\"async\" 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\" alt=\"\" width=\"608\" height=\"120\" \/><\/p>\n<p><strong><span lang=\"EN-US\">Load Direction<\/span><\/strong><\/p>\n<p><strong><span lang=\"EN-US\"><img decoding=\"async\" src=\"https:\/\/ksensors.co.kr\/wp-content\/uploads\/2025\/12\/b7c7efd71666d06c27ef063a315be12d.jpg\" alt=\"\" width=\"500\" height=\"318\" \/><\/span><\/strong><strong><span lang=\"EN-US\">Wiring Code<\/span><\/strong><\/p>\n<p><strong><span lang=\"EN-US\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ksensors.co.kr\/wp-content\/uploads\/2025\/12\/ef28cae5726c84eede0cb93be90a1a74.jpg\" alt=\"\" width=\"500\" height=\"231\" \/><\/span><\/strong><strong><span lang=\"EN-US\">Specifications<\/span><\/strong><\/p>\n<div class=\"table-responsive\">\n<table border=\"1\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"150\" \/>\n<col width=\"290\" \/><\/colgroup>\n<tbody>\n<tr>\n<td class=\"xl63\" width=\"150\" height=\"33\">Specifications<\/td>\n<td class=\"xl69\" width=\"290\">Technique<\/td>\n<\/tr>\n<tr>\n<td class=\"xl71\" width=\"150\" height=\"33\">Capacity<\/td>\n<td class=\"xl70\" width=\"290\">0.1,0.2,0.3,0.5,1,2,3,5,10,20,30,50,100,200,300,500N.m<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Rated output<\/td>\n<td class=\"xl65\" width=\"290\">1.0<span class=\"font7\">~<\/span><span class=\"font5\">1.5mV\/V<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Zero balance<\/td>\n<td class=\"xl66\" width=\"290\">\u00b11<span class=\"font5\">% F.S.<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Non-linearity<\/td>\n<td class=\"xl67\" width=\"290\">0.2%F.S.<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Hysteresis<\/td>\n<td class=\"xl67\" width=\"290\">0.2%F.S.<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Repeatability<\/td>\n<td class=\"xl67\" width=\"290\">0.1%F.S.<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Temp.effect on output<\/td>\n<td class=\"xl67\" width=\"290\">0.02%F.S.\/10<span class=\"font6\">\u2103<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Temp.effect on zero<\/td>\n<td class=\"xl67\" width=\"290\">0.02%F.S.\/10<span class=\"font6\">\u2103<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Input impedance<\/td>\n<td class=\"xl67\" width=\"290\">350\/700<span class=\"font6\">\u00b1<\/span><span class=\"font5\">10<\/span><span class=\"font7\">\u03a9<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Output impedance<\/td>\n<td class=\"xl67\" width=\"290\">350\/700<span class=\"font6\">\u00b1<\/span><span class=\"font5\">10<\/span><span class=\"font7\">\u03a9<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Insulation<\/td>\n<td class=\"xl68\" width=\"290\">\u2265<span class=\"font5\">2000M<\/span><span class=\"font7\">\u03a9<\/span><span class=\"font5\">\/100VDC<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Recommended excitation<\/td>\n<td class=\"xl67\" width=\"290\">12V<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Maximum excitation<\/td>\n<td class=\"xl67\" width=\"290\">15V<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Compensated temp range<\/td>\n<td class=\"xl66\" width=\"290\">&#8211;<span class=\"font5\">10<\/span><span class=\"font7\">~6<\/span><span class=\"font5\">0<\/span><span class=\"font6\">\u2103<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Operation temp range<\/td>\n<td class=\"xl66\" width=\"290\">-2<span class=\"font5\">0<\/span><span class=\"font7\">~60<\/span><span class=\"font6\">\u2103<\/span><\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Safe overload<\/td>\n<td class=\"xl67\" width=\"290\">120%F.S.<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Ultimate overload<\/td>\n<td class=\"xl67\" width=\"290\">150%F.S.<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">Cable size<\/td>\n<td class=\"xl67\" width=\"290\">3m<\/td>\n<\/tr>\n<tr>\n<td class=\"xl64\" width=\"150\" height=\"33\">IP Class<\/td>\n<td class=\"xl67\" width=\"290\">IP66<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<table border=\"1\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td width=\"154\" height=\"33\">Model:<\/td>\n<td width=\"363\">NF604<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Category\uff1a<\/td>\n<td>Torque Sensor<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Capacity:<\/td>\n<td class=\"xl65\" width=\"363\">0.1,0.2,0.3,0.5,1,2,3,5,10,20,30,50,100,200,300,500N.m<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Rated Output:<\/td>\n<td>1.0~1.5mV\/V<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Material:<\/td>\n<td>~<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Protection Class:<\/td>\n<td>IP66<\/td>\n<\/tr>\n<tr>\n<td height=\"33\">Weight:<\/td>\n<td>~<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":297365,"template":"","meta":[],"product_brand":[2461],"product_cat":[1159],"product_tag":[1160],"class_list":{"0":"post-297377","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_brand-naturoll-en","7":"product_cat-rotary-torque-sensors-en","8":"product_tag----en","10":"first","11":"instock","12":"taxable","13":"shipping-taxable","14":"product-type-simple"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product\/297377","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/types\/product"}],"version-history":[{"count":0,"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product\/297377\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/media\/297365"}],"wp:attachment":[{"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/media?parent=297377"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product_brand?post=297377"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product_cat?post=297377"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/ksensors.co.kr\/en\/wp-json\/wp\/v2\/product_tag?post=297377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}